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Jennifer Brennan Jennifer Brennan Causal Inference and Experimental Design Google Research Google Scholar | Resume | Google Research homepage About Jennifer Brennan works on experimental design in the Market Algorithms group at Google Research. Jennifer's research interests include experimental design and causal inference for marketplaces and platforms, especially settings in which interactions between the arms of an experiment cause standard methods to fail. Jennifer received her PhD in Computer Science and Engineering from the University of Washington in 2022, advised by Kevin Jamieson , and her BS in Mathematics and Computer Science from Harvey Mudd College. Jennifer has developed experimental designs for identifying promising antibiotic combinations, bias-minimizing designs for martketplace experiments with interference, and techniques for training memory-hungry deep learning models. She is grateful to have been supported by an NSF Graduate Research F...
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